PreSco

PreSCo
Machine Learning Platform for Early Assessment of Neonatal Sepsis and Antibiotic Rationalization
Neonatal Sepsis is a complicated medical condition which cannot be diagnosed by one or two clinical parameters. Newborns within 0 - 28 days and infants within 1 year are extremely vulnerable to infections. The criticality of their survival in the first year is such that, if they are able to successfully cross their first year, their likelihood to survive the next four years, and also the years after, gets higher. India accounts for close to 40% of newborn deaths. In low income and low resource countries such as India, where neonatal mortality rates (NMR) is as high as 24, neonatal sepsis along with antibiotic resistance is a leading cause of neonatal mortality. Also, rural NMR is two times that of urban NMR. Additionally, more than 50% districts are not expected to meet the SDG 2030 NMR target of 12.
Our innovation is called as PreSco (Predictive Scoring Application). It uses machine learning algorithms to provide for an early risk assessment of Neonatal Sepsis and aids in informed decision making for antibiotics. PreSco is non-invasive and provides a rapid risk assessment of babies.